Job Overview
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Job Description
Role Overview
As a
Full Stack Developer , you will be responsible for building the end-to-end product—from backend APIs to a clean, responsive frontend.
You’ll take full ownership of the development process, ensuring quality, scalability, and performance.
Key Responsibilities
Develop, test, and deploy the SaaS platform using
FastAPI ,
React 18 , and
PostgreSQL .
Implement a
split → process → reduce pipeline
for breaking down user prompts and aggregating responses.
Integrate
OpenAI SDK (GPT-5 High)
and manage structured outputs, token/cost estimations, and performance limits.
Build a responsive and intuitive web interface using
React + Vite + Tailwind , including
WebSockets
for real-time updates.
Implement file upload and parsing (PDF, TXT, DOCX, CSV) with
basic OCR support .
Generate
PDF and DOCX
exports (using Puppeteer, docx/docxtemplater).
Deploy on
Railway , manage environment variables, and implement monitoring via
Sentry
and
Plausible .
Maintain database structure and metrics logging in
PostgreSQL .
Collaborate closely with the technical lead to ensure code quality, scalability, and security.
Required Experience:
4–6 years of full-stack experience.
At least
one SaaS product
built and delivered using
FastAPI + React .
Able to
work independently
with minimal supervision and deliver production-ready code quickly.
Experience with OpenAI SDK or LLM orchestration.
Required Technical Skills
Backend (FastAPI & Python 3.11+):
Expertise in asynchronous programming (asyncio), retry/backoff strategies with jitter, and timeout management.
Experience integrating OpenAI SDK, handling structured outputs, and managing token usage (tiktoken).
Strong understanding of dependency management, concurrency, and parallel execution.
Frontend (React + Vite + Tailwind):
Proficiency in modern React (v18), WebSockets, and responsive UI implementation.
Ability to build clean UIs from wireframes without complex design dependency.
Infra & Database:
Hands-on experience deploying to
Railway
or similar environments.
Knowledge of structured logging, secrets management, and Twelve-Factor configuration.
Familiarity with
PostgreSQL , including query optimization and schema design.
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